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ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
Conventional machine learning approaches for predicting material properties from elemental compositions have emphasized the importance of leveraging domain knowledge when designing model inputs. Here, we demonstrate that by using a deep learning approach, we can bypass such manual feature engineerin...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279928/ https://www.ncbi.nlm.nih.gov/pubmed/30514926 http://dx.doi.org/10.1038/s41598-018-35934-y |